fastp
CHM13
fastp | CHM13 | |
---|---|---|
9 | 13 | |
1,775 | 865 | |
2.3% | 1.6% | |
4.7 | 4.9 | |
27 days ago | about 1 month ago | |
C++ | ||
MIT License | GNU General Public License v3.0 or later |
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fastp
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R pipelines for bulk RNA-seq analyses
fastp + multiQC + Salmon + DESeq2 all some nextflow workflow. It is a good exercise (not complicated) to create the pipeline from scratch the first time to properly understand each tool.
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NHI Genome Studies: Mexico Govt Sept 12 Congressional hearing
1) QC the data with fastp. This'll trim out adapters and toss reads that are poor quality.
- Illumina adapters and quality trimming
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Low-complexity sequence filtering tool
fastp has an adjustable low complexity filter option.
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Can you evaluate my pipeline?
- in terms of preprocessing and QC, I prefer fastp (https://github.com/OpenGene/fastp)
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Current QC tools for short read and long read sequencing
I generally use fastp as an all-in-one tool for short reads: https://github.com/OpenGene/fastp
- Qurstion about automating trimming process
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What methods (conda installable only please) can you use to determine the complexity of a fastq file? (e.g., kmer analysis)
I don't know if this fits exactly what you need, but I'm using fastp to check my fastq.gz files lately: https://github.com/OpenGene/fastp. You can install it via conda.
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A tool to count basepair in fastq file
If you also need some other basic statistics or want to filter the reads you can try fastp (https://github.com/OpenGene/fastp). If only the basepair count is needed, awk might be the fastest solution as suggested before.
CHM13
- VCF file for practice
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NHI Genome Studies: Mexico Govt Sept 12 Congressional hearing
2) Use bowtie2 to align reads against CHM13. This will let you separate human from nonhuman (important, as human sequences are a common contaminant in many nonhuman genomes).
- The human Y chromosome has been sequenced
- The human genome is, at long last, complete
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The complete sequence of a human genome
Code https://github.com/marbl/CHM13
- Scientists publish the first complete human genome
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The first fully complete human genome with no gaps is now available to view for scientists and the public, marking a huge moment for human genetics. The six papers are all published in the journal Science.
Liftover files are already available from https://github.com/marbl/CHM13
- Why there is a lot of Ns at the begining of the fasta file of all Human chromosomes
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The Entire Human Genome Has Been Sequenced
If you’re serious, you can download the current fasta file from this page.
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Digital Karyogram Derived From The Telomere-to-Telomere Consortium's CHM13/v1.1 Genome Assembly [OC]
I have created a simulated karyogram based on REPAVER visualisations of the Telomere-to-telomere Consortium's CHM13 assembly:
What are some alternatives?
galaxy - Data intensive science for everyone.
bowtie2 - A fast and sensitive gapped read aligner
readfq - A simple tool to calculate reads number and total base count in FASTQ file
glslSmartDeNoise - Fast glsl deNoise spatial filter, with circular gaussian kernel, full configurable
nextclade - Viral genome alignment, mutation calling, clade assignment, quality checks and phylogenetic placement
readfq - Fast multi-line FASTA/Q reader in several programming languages
seqtk - Toolkit for processing sequences in FASTA/Q formats
fasql - DuckDB Extension for reading and writing FASTA and FASTQ Files
Sniffles - Structural variation caller using third generation sequencing
kraken2 - The second version of the Kraken taxonomic sequence classification system
TPMCalculator - TPMCalculator quantifies mRNA abundance directly from the alignments by parsing BAM files